About the RoleAs Manager, Product & Client Solutions, you will collaborate directly with some of the industry's most sophisticated institutions to drive adoption of Avantos AI and enable large-scale AI transformation. In this role, you will help define our R&D agenda by providing valuable input for continued product testing and iteration. Success in this position requires a strategic outlook coupled with operational execution.
Partnering closely with engineers, you will help translate real-world client needs into actionable product insights, contribute to solution design, and optimize how our technology is deployed. You will also shape our R&D roadmap by maintaining a close feedback loop between clients and engineering, ensuring our products evolve to create lasting, meaningful impact for the institutions we serve.
Key Responsibilities- Collaborate in a pod structure with Engineering and Product teams to drive enterprise client engagement, product success, and implementation of Avantos AI
- Support and occasionally lead client communications, requirements gathering, coordination, and project management
- Work alongside technical teams to design technology solutions that meet business objectives, ensuring alignment with overall IT strategy
- Partner with teammates to inform product roadmap priorities and support AI solutioning
Minimum Qualifications- 2-5 years of experience in technology consulting or digital transformation at an enterprise SaaS or financial services organization
- Demonstrated success supporting complex, multi-stakeholder implementations involving senior-level stakeholders
- Proven experience collaborating cross-functionally with product and engineering teams
- Technical acumen, including familiarity with technology concepts, software development lifecycles, agile methodologies, and comfort in technical discussions
- Excellent written and verbal communication skills, with the ability to translate technical concepts for both non-technical and executive audiences
Preferred Qualifications- Educational background in engineering, computer science, information systems, or quantitative disciplines
